A Survey on Causal Representation Learning and Future Work for Medical Image Analysis

28 October 2022

Papers citing "A Survey on Causal Representation Learning and Future Work for Medical Image Analysis"

8 / 8 papers shown

Title
Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement Haoxuan Che Haibo Jin Haoxing Chen OOD 24 22 0 09 Jul 2022
You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction Ziteng Cui Kunchang Li Lin Gu Sheng Su Peng Gao Zhengkai Jiang Yu Qiao Tatsuya Harada ViT 76 123 0 30 May 2022
Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation Mingxuan Gu Sulaiman Vesal Ronak Kosti Andreas K. Maier OOD 11 11 0 28 Jan 2022
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang C. Miao Xiansheng Hua Hanwang Zhang CML 161 174 0 02 Mar 2021
Counterfactual Zero-Shot and Open-Set Visual Recognition Zhongqi Yue Tan Wang Hanwang Zhang Qianru Sun Xiansheng Hua BDL 139 189 0 01 Mar 2021
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 185 125 0 04 Jan 2021
Domain Adaptation as a Problem of Inference on Graphical Models Kun Zhang Mingming Gong P. Stojanov Biwei Huang Qingsong Liu Clark Glymour OOD 37 62 0 09 Feb 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 210 13,886 0 02 Dec 2016